Job Title
Senior Platform Engineer
Location
Bengaluru (Hybrid)
Experience
5-8 Years
Qualification
Bachelor's degree in Computer Science, Information Technology, Computer Information Systems, Software Engineering, Mathematics, Statistics, or a related field. Equivalent relevant work experience will also be considered.
Job Summary
We are looking for an experienced Senior Platform Engineer to lead the design, development, and evolution of scalable engineering platforms, cloud-native solutions, reusable components, and intelligent automation capabilities. The role focuses on improving developer productivity, platform reliability, software delivery efficiency, and engineering excellence across the AI-Driven Development Lifecycle (AIDLC).
Key Responsibilities
- Design and develop scalable engineering platforms, platform products, shared services, reusable APIs, SDKs, and automation frameworks.
- Drive platform modernization, cloud-native adoption, and engineering best practices.
- Build intelligent automation solutions across development, testing, deployment, operations, governance, and security.
- Develop and integrate AI agents, LLM workflows, RAG systems, MCP integrations, and agent orchestration frameworks.
- Enhance developer experience through self-service platforms, reusable templates, and engineering accelerators.
- Lead CI/CD, DevOps, Infrastructure as Code (IaC), and platform reliability initiatives.
- Implement monitoring, observability, automated remediation, security controls, and compliance guardrails.
- Establish platform standards, engineering patterns, and governance practices.
- Collaborate with engineering, architecture, security, product, and operations teams to improve platform maturity and productivity.
Required Skills
- Platform Engineering and Architecture
- Modern Programming Languages and Automation Frameworks
- Cloud Engineering and Cloud-Native Architectures
- DevOps, CI/CD and Infrastructure as Code (IaC)
- Developer Experience (DevEx) and Self-Service Platforms
- Reusable Components, APIs, SDKs and Shared Services
- Intelligent Automation and AI-Assisted Engineering
- AI Agents, LLM Workflows, RAG and MCP Integrations
- Site Reliability Engineering (SRE), Monitoring and Observability
- Security, Governance and Engineering Controls
- Technical Leadership and Cross-Functional Collaboration
Mandatory Certification
At least one cloud certification:
- AWS Certified Cloud Practitioner
- Microsoft Certified: Azure Fundamentals
- Google Cloud Digital Leader
Preferred Qualifications
- Experience in platform modernization and cloud transformation.
- Exposure to AI-powered engineering, agent-based automation, and developer productivity tools.
- Relevant certifications in Cloud, DevOps, Platform Engineering, AI/ML, or related technologies.